Accounting
Ahmed Seja; Dickson Pastory; Dionice Lwanga
Abstract
This study aimed to assess the impact of financial knowledge on household wealth accumulation in Dodoma City. The research design employed for this study was cross-sectional, and a sample of 304 household heads participants was selected using simple random sampling. Data collection was conducted through ...
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This study aimed to assess the impact of financial knowledge on household wealth accumulation in Dodoma City. The research design employed for this study was cross-sectional, and a sample of 304 household heads participants was selected using simple random sampling. Data collection was conducted through the use of questionnaires. The quantitative data obtained were analyzed using descriptive statistics and a multiple linear regression model. The findings of the study revealed that financial knowledge in terms of personal level of education, financial trainings and financial management skills were positive and significant related to household wealth accumulation. The study concludes that, financial knowledge was important component in in financial literacy influence the accumulation of wealth among households in Dodoma City Council. Consequently, the study recommends that the local government and relevant organizations should implement comprehensive financial education programs that specifically target the residents of Dodoma City Council. These programs should focus on improving financial attitudes and behaviors, as well as providing knowledge on effective budgeting, saving, investing, and debt management.
Accounting
Alireza Azarberahman; Ali Lalbar; Malihe Tohidinia; Zahra Ghorbanpoor
Abstract
Understanding the factors that contribute to decreased financial literacy and increased behavioral biases can suggest solutions for risk management and improving decision-making processes. On the other hand, investors make financial decisions based on their levels of financial literacy and behavioral ...
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Understanding the factors that contribute to decreased financial literacy and increased behavioral biases can suggest solutions for risk management and improving decision-making processes. On the other hand, investors make financial decisions based on their levels of financial literacy and behavioral biases. The main goal of this research is to examine the various levels of financial literacy with investors' behavioral biases, and understanding this relationship can help us recommend the best strategies to encourage investors to make better-informed decisions. The research population includes all investors in the Tehran Stock Exchange. A sample, calculated using Cochran's formula, ultimately collected 390 questionnaires manually and online, and necessary pretests were conducted to confirm the validity and reliability. Descriptive statistics, including the demographic characteristics of respondents and the frequency of responses to each question, were performed in this study. Then, structural equation modeling was used to test hypotheses. The results of hypothesis testing showed that professional financial literacy has an inverse effect on overconfidence behavioral bias. It was also found that professional financial literacy has a significantly positive effect on risk tolerance. Finally, it was determined that there is a significant negative relationship between professional financial literacy and self-documentary and risk aversion biases. On the other hand, it was revealed that investors with low levels of financial literacy have a positive relationship with the mentioned behavioral biases. Based on the research results, it can be claimed that as the level of financial literacy decreases among investors, they will become more involved in behavioral biases.
Accounting
Dickson Pastory; Dionice Lwanga
Abstract
Cryptocurrencies are increasingly becoming more popular as cheaper, faster and more secure means of transferring money across the globe while offering diversification benefits to investors. This current study explores the effects of national culture on cryptocurrency adoption across 118 countries. We ...
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Cryptocurrencies are increasingly becoming more popular as cheaper, faster and more secure means of transferring money across the globe while offering diversification benefits to investors. This current study explores the effects of national culture on cryptocurrency adoption across 118 countries. We test how each cultural dimension from the Hofstede model affects cryptocurrency adoption. These are power distance, long-term orientation, uncertainty avoidance, individualism and masculinity. We subsequently assess the moderation effects of financial literacy on the linkage between national culture and cryptocurrency adoption. We employ analysis of variance (ANOVA) and stepwise regression estimations to probe into the magnitudes and significance of postulated relationships. Our results firstly indicate significant disparities in cryptocurrency adoption, but only between countries with high and low uncertainty avoidance. The stepwise regression results revealed a strong negative relationship between uncertainty avoidance and cryptocurrency adoption, with other cultural dimensions exhibiting insignificant effects. Moreover, countries with high uncertainty avoidance but whose adults are highly financially literate were seen to be less vulnerable to fears of uncertainties and risks when deciding to adopt cryptocurrencies. Our findings lay a foundation for further theory development and provide practical implications to cryptocurrency entrepreneurs, governments, users and businesses that accept payments in Bitcoin and other cryptocurrencies.
Accounting
Jasella Sakwi Yanti; Yossi Diantimala; Nuraini A
Abstract
This paper aims to test the Crowes Pentagon Theory of Fraud in detecting financial statement fraud and provide further explanation of the fraud indicators in the Pentagon Fraud Theory consisting of pressure, opportunity, competence, rationalization, and arrogance. (arrogance) can detect fraud in financial ...
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This paper aims to test the Crowes Pentagon Theory of Fraud in detecting financial statement fraud and provide further explanation of the fraud indicators in the Pentagon Fraud Theory consisting of pressure, opportunity, competence, rationalization, and arrogance. (arrogance) can detect fraud in financial reporting in manufacturing companies listed on the Indonesia Stock Exchange in 2017-2021. The data used in this research was obtained from annual reports and websites of manufacturing companie. The sample selection technique in this study used simple random sampling to obtain 655 company-years. The data analysis techniques used are descriptive statistical and multiple linear regression analyses. The results show that the fraud indicators in the fraud pentagon theory represented by financial stability, leverage, ineffective monitoring, and director turnover, can detect financial statement fraud, while other indicators - auditor changes and a large number of CEO photos - cannot detect financial statement fraud.
Accounting
Edwin K Sitienei
Abstract
This study sought to address the effects of earnings quality on the financial performance of Non-financial firms listed at the Nairobi Securities Exchange(NSE). Three attributes of earnings quality; predictive value, feedback value, and earnings accruals quality, were adopted as measures of earnings ...
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This study sought to address the effects of earnings quality on the financial performance of Non-financial firms listed at the Nairobi Securities Exchange(NSE). Three attributes of earnings quality; predictive value, feedback value, and earnings accruals quality, were adopted as measures of earnings quality. The study adopted returns on assets (ROA) to measure financial performance. A 5-year data (2018-2022) for the 44 non-financial firms listed in the Nairobi Securities Exchange were obtained from secondary data sources. The data were analyzed using Stata 17, and the findings showed that accrual quality and feedback value exhibited a significant positive relationship with financial performance. The predictive value of the earnings revealed an insignificant negative relationship with financial performance. The model was significant at a 10% significance level with a coefficient of 0.492. This implies that earnings quality constructs significantly and positively affect the performance of Kenyan public-listed non-financial firms. The findings of this study have important implications for users of financial information in ascertaining the importance of earnings quality on the performance of Kenyan public non-financial firms. This study is also beneficial to standard setters in Kenya that view the earnings quality as an indirect indicator of the quality of financial reporting standards that have been issued.
Accounting
Tanzina Haque
Abstract
The establishment of the nomination and remuneration committee (a key element of corporate governance structures) arises from the imperative to uphold principles of fairness, impartiality and transparency within the organization which serves to strengthen stakeholders’ confidence and enhance overall ...
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The establishment of the nomination and remuneration committee (a key element of corporate governance structures) arises from the imperative to uphold principles of fairness, impartiality and transparency within the organization which serves to strengthen stakeholders’ confidence and enhance overall business performance. The purpose of this paper is to investigate the relationship between a firm’s financial performance and its nomination and remuneration committee (NRC). As shown in the section delineating the research technique, the statistical software STATA was employed to analyze the correlation between the independent and dependent variables in this inquiry. The dataset consisted of total 48 insurance firms listed in the Dhaka Stock Exchange over the time period of 2015 to 2022 resulting in a total of 384 firm-year observations. The results show that there is a statistically significant positive relationship between the financial measures (EPS, ROE) and the independent variable (NRC) except the ROA which is not statistically significant. This investigation seeks to address a gap in the existing literature by examining the company financial performance within the emerging insurance sector of Bangladesh. The study concludes by suggesting that further investigation and research in this area are warranted. Presumably, this means there are more aspects to explore regarding the relationship between financial performance and NRC in the context of the insurance sector in Bangladesh.
Accounting
Edwin Sitienei
Abstract
This study explores the relationship between corporate governance traits and discretionary accruals among non-financial firms listed in NSE. Our study discovered that the board size has a relatively insignificant negative impact on the discretionary accruals of non-financial firms listed in the NSE using ...
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This study explores the relationship between corporate governance traits and discretionary accruals among non-financial firms listed in NSE. Our study discovered that the board size has a relatively insignificant negative impact on the discretionary accruals of non-financial firms listed in the NSE using a sample of 44 publicly traded non-financial firms based on 2012-2021 data. The findings on board independence indicate a significant positive relationship at 10% significance. The results suggest that board independence doesn't reduce discretionary accruals in non-financial firms listed in NSE Kenya. The CEO duality, on the other hand, revealed a statistically positive insignificant effect on discretionary accruals, contrary to expectations. The research findings also pointed to income-decreasing accruals earnings management as depicted by a mean of -.083 discretionary accruals in the descriptive statistics. On the effects of board meetings on discretionary accruals, the study found an insignificant negative relationship. The findings of this study may be useful for regulators to re-evaluate their laws and mandates regarding firms and their corporate governance structure, as well as for legislators who have the power to nominate board members to select competent and knowledgeable personnel.
Accounting
Hamidreza Hajeb; Mohammad Banafi
Abstract
The purpose of this study is to design a model to predict the efficiency of inventory management to help creditors and actual and potential investors and other stakeholders to avoid major losses in the capital market. For this reason, 137 companies listed on the Tehran Stock Exchange during the 10-years ...
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The purpose of this study is to design a model to predict the efficiency of inventory management to help creditors and actual and potential investors and other stakeholders to avoid major losses in the capital market. For this reason, 137 companies listed on the Tehran Stock Exchange during the 10-years period 2012-2021 were examined. In this study, the predicting variables of institutional ownership, managerial ownership, corporate ownership, ownership concentration, board size, percentage of non-executive board members, and duality of CEO (Chief Executive Officer) role have been used. The efficiency of inventory management was predicted using a three-layer perceptron artificial neural network with the Backpropagation of Error algorithm. Finally, a network with the mean squared error of 0.360, 0.428, 0.261 and 0.353, respectively for training data, validation, test and total data and a coefficient of determination of more than 72%, as the best network Selected.
Accounting
Md. Rezaul Karim; Muhammad Armaan Hossain
Abstract
The purpose of this study is to predict the areas in financial statements susceptive to fraud in the banking sector of Bangladesh. Data of 13 years ranging from 2006 to 2018 of 29 listed banks in Bangladesh were examined for the purpose of this study. Financial data suggested by International Standard ...
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The purpose of this study is to predict the areas in financial statements susceptive to fraud in the banking sector of Bangladesh. Data of 13 years ranging from 2006 to 2018 of 29 listed banks in Bangladesh were examined for the purpose of this study. Financial data suggested by International Standard on Auditing (ISA) 240 as fraud risk indicators were used as the independent variables and banks identified by Centre for Policy Dialogue (CPD) to be engaged in fraud, scam and heists were taken as dependent variable. Multilayer Perceptron Network (MLP), a class of feedforward Artificial Neural Network (ANN) model was used as the analytical tool. It is found that loan disbursement, assets, profit, operating expenses and tax are the areas that can signal the probable fraud in financial statements of the listed banks of Bangladesh. The findings of this study will have policy implications for auditors and the regulators of money market in Bangladesh.
Accounting
Md. Tahidur Rahman; Syed Zabid Hossain; Md. Anwarul Haque; Md. Abu Hanif Ashik
Abstract
This study intended to explore the IPO motives and the factors that contributed to IPO oversubscription in Bangladesh. Based on hand-collected data from 101 sample IPO prospectus during 2010–19, the study found an average of 10 IPOs per year, mostly (90%) through the fixed-price method. Among the ...
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This study intended to explore the IPO motives and the factors that contributed to IPO oversubscription in Bangladesh. Based on hand-collected data from 101 sample IPO prospectus during 2010–19, the study found an average of 10 IPOs per year, mostly (90%) through the fixed-price method. Among the sample companies, 34.7% were in the textile sector, followed by 17.8% in the engineering sector and 12.9% in the pharmaceuticals & chemical sector. This study observed an average subscription times of 23.41, which was much lower than in some other South Asian countries. Regarding the use of IPO proceeds, loan settlement was the prime motive, followed by capital expenditure, and working capital financing. Companies expensed around 6% of the total IPO proceeds as flotation cost. Although the detailed disclosure of the use of IPO proceeds in the prospectus is a common and expected feature, it was found absent in around 12% of companies. The logistic regression model found a statistically significant influence of lot size (LOT), post-IPO capital (PIC), and flotation cost (FTC) on oversubscription times (OST). The contribution of FTC to OST was a novel finding of this study. The study also found the absence of large and reputed domestic and multinational conglomerates in the listing through IPOs. Thus, the current study recommends regulators should take proper drives to customize and familiarize the book-building method, which can entice good companies for listing in stock exchanges through IPO.
Accounting
Ali Najafi Moghadam; Masoumeh Nejad Mohammadi Alarelough; Abdulaziz Salem Nejad
Abstract
The aim of this study was to investigate the effect of internal factors of the company on the Tobin's Q ration and the value of companies admitted in Tehran Securities Exchange Stock Exchange with the approach of structural equation modeling. In this study the effect of corporate governance, capital ...
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The aim of this study was to investigate the effect of internal factors of the company on the Tobin's Q ration and the value of companies admitted in Tehran Securities Exchange Stock Exchange with the approach of structural equation modeling. In this study the effect of corporate governance, capital structure and profit sharing policy as internal variables on corporate value was investigated. This research is practical in terms of goal. Statistical population of the present study is the companies accepted in the Tehran Stock Exchange between 2012 to 2016. Among them, 161 companies were selected as sample through systematic elimination. After finding to fit the acceptable model of measurement and structure of the research, the results showed that internal variables have a positive effect on the Tobin's Q ratio. Among the internal variables, the return-sharing policy has the most impact on the Tobin's Q ratio. The Tobin's Q ratio can mediate the relationship between local variables and the corporate value.
